| 5 | """ |
| 6 | |
| 7 | class ResLayer(nn.Module): |
| 8 | def __init__(self, linear_size): |
| 9 | super(ResLayer, self).__init__() |
| 10 | self.l_size = linear_size |
| 11 | self.nonlin1 = nn.ReLU(inplace=True) |
| 12 | self.nonlin2 = nn.ReLU(inplace=True) |
| 13 | self.dropout1 = nn.Dropout() |
| 14 | self.w1 = nn.Linear(self.l_size, self.l_size) |
| 15 | self.w2 = nn.Linear(self.l_size, self.l_size) |
| 16 | |
| 17 | def forward(self, x): |
| 18 | y = self.w1(x) |
| 19 | y = self.nonlin1(y) |
| 20 | y = self.dropout1(y) |
| 21 | y = self.w2(y) |
| 22 | y = self.nonlin2(y) |
| 23 | out = x + y |
| 24 | |
| 25 | return out |
| 26 | |
| 27 | class FCNet(nn.Module): |
| 28 | def __init__(self, num_inputs, num_classes, dim_hidden): |